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representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations NIPS 2022
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching NIPS 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification NIPS 2022
On the Strong Correlation Between Model Invariance and Generalization NIPS 2022
Improved Algorithms for Neural Active Learning NIPS 2022
LieGG: Studying Learned Lie Group Generators NIPS 2022
Mask-based Latent Reconstruction for Reinforcement Learning NIPS 2022
Meta-Learning Dynamics Forecasting Using Task Inference NIPS 2022
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning NIPS 2022
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing NIPS 2022
Biological Learning of Irreducible Representations of Commuting Transformations NIPS 2022
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome NIPS 2022
AutoST: Towards the Universal Modeling of Spatio-temporal Sequences NIPS 2022
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects NIPS 2022
Redundant representations help generalization in wide neural networks NIPS 2022
ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography NIPS 2022
Optimal Positive Generation via Latent Transformation for Contrastive Learning NIPS 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos NIPS 2022
Reinforcement Learning with Neural Radiance Fields NIPS 2022
Spherization Layer: Representation Using Only Angles NIPS 2022
Training Subset Selection for Weak Supervision NIPS 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models NIPS 2022
Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets NIPS 2022
Self-Taught Metric Learning Without Labels CVPR 2022
ContrastMask: Contrastive Learning To Segment Every Thing CVPR 2022